Timestrip Indicators Trusted by Medical Science Researchers
Ali Daneshkhah, Sravya Prabhala et al at the Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA have developed a new method - AI-enhanced optical nanosensing - of detecting changes in cells that might lead to an improved ability to diagnose lung cancer.
As published in Scientific Reports on Nature.com, their methodology included shipping oral samples that were sent by airplane and ground transport. These samples reached the lab within 24 hours of being collected. The samples had to be kept cold during transportation, below 10 °C, using a special kit.
The transportation kit included Timestrip temperature indicators to make sure the samples had stayed at the right temperature.
Timestrip temperature and time indicators can form a valuable part of rigorous quality procedures in many application sectors in healthcare.
Ref: Daneshkhah, A., Prabhala, S., Viswanathan, P. et al. Early detection of lung cancer using artificial intelligence-enhanced optical nanosensing of chromatin alterations in field carcinogenesis. Sci Rep 13, 13702 (2023).